3DLinker: An E(3) Equivariant Variational Autoencoder for Molecular Linker Design

15 May 2022

Papers citing "3DLinker: An E(3) Equivariant Variational Autoencoder for Molecular Linker Design"

7 / 7 papers shown

Title
SGNet: Folding Symmetrical Protein Complex with Deep Learning Zhaoqun Li Jingcheng Yu Qiwei Ye 15 0 0 07 Mar 2024
Knowledge-augmented Graph Machine Learning for Drug Discovery: A Survey from Precision to Interpretability Zhiqiang Zhong A. Barkova Davide Mottin 11 8 0 16 Feb 2023
A 3D Generative Model for Structure-Based Drug Design Shitong Luo Jiaqi Guan Jianzhu Ma Jian-wei Peng DiffM 63 176 0 20 Mar 2022
Molecule3D: A Benchmark for Predicting 3D Geometries from Molecular Graphs Zhao Xu Youzhi Luo Xuan Zhang Xinyi Xu Yaochen Xie Meng Liu Kaleb Dickerson Cheng Deng Maho Nakata Shuiwang Ji 33 39 0 30 Sep 2021
Vector Neurons: A General Framework for SO(3)-Equivariant Networks Congyue Deng Or Litany Yueqi Duan A. Poulenard Andrea Tagliasacchi Leonidas J. Guibas 3DPC 99 264 0 25 Apr 2021
Graph Convolutional Policy Network for Goal-Directed Molecular Graph Generation Jiaxuan You Bowen Liu Rex Ying Vijay S. Pande J. Leskovec GNN 181 878 0 07 Jun 2018
Junction Tree Variational Autoencoder for Molecular Graph Generation Wengong Jin Regina Barzilay Tommi Jaakkola 208 1,205 0 12 Feb 2018